Abstract: The mission statement is to design a cost-effective, scalable and portable MEMS based control system for the physically handicapped with high accuracy and programmability. The project focuses on head movement recognition via displacement in different directions. Many approaches have been made using cameras and computer vision to interpret sign language. Gesture recognition is a way for machines to begin to understand human body language, thus building a richer bridge between human and machines. Approximately 6 million people in the world face the problem of disability due to paralysis of various degrees. The proposed work is to provide a system that can be used by physically challenged people to control various devices using head movement. The system comprises of a microcontroller employing a MEMS accelerometer senses displacement signals. The direction along x- axis, y- axis, z- axis is real time detected by the software which in turn communicates to the various devices to function accordingly.
Keywords: Head movement recognition, Gesture recognition, MEMS accelerometer.
Title: HEAD MOVEMENT CONTROLLED HOME AUTOMATION FOR HANDICAPS USING MEMS TECHNOLOGY
Author: BANUSHREE A M, NAGASHREE K V, JANANI K, Mrs. SOWMYA M,
International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online)
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